Propuesta de un índice para evaluar la gestión del control interno

Derived from its humanitarian mission, to pay quality health care to the population, in hospitals and health facilities is needed reduce the occurrence of events that may threaten the physical and psychological integrity of the patients they serve. One of the strategies to consider to overcome this challenge is the proper implementation of the internal control system, to ensure the sustainability of insurers, by increasing efficiency in the care of people, feasible only within a care model that quantifies and management on population identified and addressed. The objective of this paper was to propose a coefficient to evaluate the internal control management for a hospital entity. This was conceived under the guidelines of the multi-criteria modeling in conjunction with the detection of critical points through Petri nets. For this, the order of importance and fulfillment of the components of Internal Control and in unison the unreliability of critical processes in the entity being identified practical application was determined.     

MLP ensembles improve long term prediction accuracy over single networks

This work describes an award winning approach for solving the NN3 Forecasting Competition problem, focusing on the sound experimental validation of its main innovative feature. The NN3 forecasting task consisted of predicting 18 future values of 111 short monthly time series. The main feature of the approach was the use of the median for combining the forecasts of an ensemble of 15 MLPs to predict each time series. Experimental comparison to a single MLP shows that the ensemble increases the performance accuracy for multiple-step ahead forecasting. This system performed well on the withheld data, having finished as the second best solution of the competition with an SMAPE of 16.17%.     

Persistent poverty and informal credit

This paper explores the consequences of nonlinear wealth dynamics for the formation of bilateral credit arrangements to help manage idiosyncratic risk. Using original data on expected wealth dynamics, social networks and informal loans among southern Ethiopian pastoralist households, we find that the threshold at which expected wealth dynamics bifurcate serves as a focal point at which lending is concentrated. Informal lending responds to recipients' losses but only so long as the recipients are not “too poor”. Our results suggest that when shocks can have long term effects, loans are best understood as providing a safety net rather than a scale-neutral insurance mechanism. Furthermore, the persistently poor are excluded from social networks that are necessary to obtain loans given in response to shocks.     

Gibrat’s law: empirical test of Portuguese service industries using dynamic estimators

Using dynamic panel estimators, this article shows rejection of Gibrat’s law for Portuguese companies in the service sector. In companies as a whole, we find that growth depends positively on growth in the previous period and on debt, and depends negatively on size. When we subdivide the sample into small- and medium-sized companies and large companies, the results are similar to those obtained when we take companies as a whole. The differences concern the relationship between ownership control and growth, which is positive in the case of small- and medium-sized companies, and the non-influence of growth in the previous period on growth in the current period in the case of large companies.     

Orthorexia Nervosa: Can Healthy Eating Food Trends Impact Food Companies Marketing Strategies?

The purpose of this article is to explore foods companies’ knowledge of food trends and assess how orthorexia nervosa may affect food companies’ marketing decisions. Data was gathered through a multiple case-study approach, and four semi-structured interviews to CEOs/CMOs of food companies from four distinct non-competing sectors of the food industry. The results show that although marketing managers are conscious of the existence of consumer behavior changes regarding food habits, they are not particularly concerned neither interested in micro-segments as they are not profitable. Despite the deficiencies on CMOs’ knowledge of particular food trends they declare to be attentive to the changes in consumer behavior and prepared to respond to competitors moves. This research adds to the existing knowledge on the food industry since it is the first study to explore the impact of food trends on food companies’ management marketing decisions from the company point of view.     

Strategic diagnostics and management decision making: a hybrid knowledge‐based approach

A conceptual model is introduced whereby the focus is placed on environmental scanning, diagnostics and decision‐making on the basis of managerial judgement through the application of tools such as intelligent agents, hybrid intelligent systems, scenario analysis and knowledge‐based systems. The model has a critical stage as an antecedent to the strategic advice that encompasses the issues of strategic fit to purpose (theme, industry, company and strategic business unit‐driven). A number of applications dealing with these four layers are shown, as well as an illustration of hybrid intelligent systems for strategic marketing planning. Copyright © 2007 John Wiley & Sons, Ltd.     

Inflation targeting in Brazil: constructing credibility under exchange rate volatility

This paper assesses the challenges faced by the inflation-targeting regime in Brazil. The inflation-targeting framework has played a critical role in macroeconomic stabilization. We stress two important challenges: construction of credibility and exchange rate volatility. The estimations indicate the following results: (i) the inflation targets have worked as an important coordinator of expectations; (ii) the Central Bank has reacted strongly to inflation expectations; (iii) there has been a reduction in the degree of inflation persistence; and (iv) the exchange rate pass-through for “administered or monitored” prices is two times higher than for “market” prices.     

THE IMPACT OF CUSTOMER RESPONSE ON INVENTORY AND UTILIZATION POLICIES

Drawing on extensive fieldwork at a semiconductor manufacturer, this research provides a framework for understanding how customer response and long production delays interact, leading to increased demand amplification across a company's supply chain. Investigating the impact resulting from the higher demand amplification, suggestions are derived for the company's capacity utilization and inventory policies     

A NOTE ON COLE AND STOCKMAN*

We show that Bailey's rule holds true in Cole and Stockman's (1992) model of endogenous specialization.